Evidence map›Paper›PMID 33537642›Full record

ArticleEuropean journal of midwifery2020

Causal links to missed Australian midwifery care: What is the evidence?

Ian Blackman, Eleni Hadjigeorgiou, Liz McNeill

Open access · goldAbstract read
In one paragraph

Article in European journal of midwifery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 3 countries.

Ian BlackmanCollege of Nursing and Health Sciences, Flinders University, Marion, Australia.
Eleni HadjigeorgiouNursing Department, Faculty of Health Sciences, Cyprus University of Technology, Limassol, Cyprus.
Liz McNeillCollege of Nursing and Health Sciences, Flinders University, Marion, Australia.
Flinders University · AUCyprus University of Technology · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe incidences and types of missed nursing care in the acute care and community sectors are both ubiquitous and quantifiable, however, there are few research studies relating to the type and frequency of missed maternity-based care for mothers and families. The aim of this study is to estimate the incidences and types of Australian missed midwifery care and to identify those factors that have causal links to it.

methodsA non-experimental, descriptive method using a Likert developed MISSCARE scale was used to ascertain consensus estimates made by Australian midwives. Electronic invitations were extended to their membership using an inclusive link to the MISSCARE survey. Inclusion criteria were all ANMF members who were midwives and currently employed within the Australian public and private healthcare systems. Data analysis was undertaken using both Rasch analysis and Structural Equation Modelling.

resultsThe type and frequency of missed Australian midwifery care can be quantified and several demographic factors are significant predictor variables for overall missed midwifery care. The most prevalent aspects of missed care in the Australian midwifery setting are midwives' hand hygiene, supportive care, perinatal education, and surveillance type midwifery practices.

conclusionsAs the frequencies and types of missed midwifery care in Australia have been identified, it is possible for midwives to be mindful of minimising care omissions related to hand hygiene, providing supportive care and education to mothers as well as surveillance-type midwifery practices.

Indexed as

Australiamissed midwifery caremodelling

Identifiers

PMID33537642
PMCPMC7839148
OpenAlexW3095679007

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.